Fuzzy hierarchical model for risk assessment: Principles, concepts, and practical applications

Hing Kai Chan, Xiaojun Wang

Research output: Book/ReportBookpeer-review

19 Citations (Scopus)

Abstract

Risk management is often complicated by situational uncertainties and the subjective preferences of decision makers. Fuzzy Hierarchical Model for Risk Assessment introduces a fuzzy-based hierarchical approach to solve risk management problems considering both qualitative and quantitative criteria to tackle imprecise information. This approach is illustrated through number of case studies using examples from the food, fashion and electronics sectors to cover a range of applications including supply chain management, green product design and green initiatives. These practical examples explore how this method can be adapted and fine tuned to fit other industries as well. Supported by an extensive literature review, Fuzzy Hierarchical Model for Risk Assessment comprehensively introduces a new method for project managers across all industries as well as researchers in risk management. this area.

Original languageEnglish
PublisherSpringer-Verlag London Ltd
Number of pages169
Volume9781447150435
ISBN (Electronic)9781447150435
ISBN (Print)1447150422, 9781447150428
DOIs
Publication statusPublished - 1 Nov 2013
Externally publishedYes

ASJC Scopus subject areas

  • Engineering (all)

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